Skip to main content

Defining eccentricity for gravitational wave astronomy.

Project description

Defining eccentricity for gravitational wave astronomy

github PyPI version Conda (channel only) license Build Status Documentation Status

About

gw_eccentricity provides methods to measure eccentricity and mean anomaly from gravitational waveforms.

These methods are described in the following paper:

  • [1] Md Arif Shaikh, Vijay Varma, Harald Pfeiffer, Antoni Ramos-Buades and Maarten van de Meent, "Defining eccentricity for gravitational wave astronomy", (2023). arXiv:2302.11257

Please see Credits below for citing this work. This package lives on GitHub, is compatible with python3, and is tested every week. You can see the current build status of the main branch at the top of this page.

Installation

PyPI

gw_eccentricity is available through PyPI:

pip install gw_eccentricity

Conda

gw_eccentricity can be installed using conda also:

conda install -c conda-forge gw_eccentricity

From source

git clone git@github.com:vijayvarma392/gw_eccentricity.git
cd gw_eccentricity
python setup.py install

If you do not have root permissions, replace the last step with python setup.py install --user

Dependencies

All of these can be installed through pip or conda.

Usage

See the example notebook here for a demo.

Making contributions

See this README for instructions on how to make contributions to this package.

Please report bugs by raising an issue on our GitHub repository.

Credits

The main contributors to this code are Md Arif Shaikh, Vijay Varma, and Harald Pfeiffer. You can find the full list of contributors here.

If you find this package useful in your work, please cite reference [1] and this package. You can use the following bibtex keys:

@article{Shaikh:2023ypz,
    author = "Shaikh, Md Arif and Varma, Vijay and Pfeiffer, Harald P. and Ramos-Buades, Antoni and van de Meent, Maarten",
    title = "{Defining eccentricity for gravitational wave astronomy}",
    eprint = "2302.11257",
    archivePrefix = "arXiv",
    primaryClass = "gr-qc",
    month = "2",
    year = "2023",
    Note = "{\href{https://pypi-hypernode.com/project/gw_eccentricity}{pypi.org/project/gw\_eccentricity}}",
}

Image at the top shows an eccentric gravitational wave signal (SXS:BBH:2558) from arXiv:2209.03390.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

gw_eccentricity-1.0.3.tar.gz (77.9 kB view details)

Uploaded Source

Built Distribution

gw_eccentricity-1.0.3-py3-none-any.whl (77.9 kB view details)

Uploaded Python 3

File details

Details for the file gw_eccentricity-1.0.3.tar.gz.

File metadata

  • Download URL: gw_eccentricity-1.0.3.tar.gz
  • Upload date:
  • Size: 77.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for gw_eccentricity-1.0.3.tar.gz
Algorithm Hash digest
SHA256 b9f7f5b0cbda18bb9345403a1748a52b4b235066cd57dfa944ddf609705c4fcc
MD5 a86bcf20e815176e7b070c7a8246a834
BLAKE2b-256 e8322ce9b2d4163ee195ec83af84be74625fbd9b0b6b7b1a5eedf366d168d8b7

See more details on using hashes here.

File details

Details for the file gw_eccentricity-1.0.3-py3-none-any.whl.

File metadata

File hashes

Hashes for gw_eccentricity-1.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 5c103a28a77c847fcbacafea62bd2a399694c534fed85e01b1fe0265fd9626ae
MD5 dac422662450b35823c19ae8384ed88d
BLAKE2b-256 07e3bbc0025380b6b245c7432502944a2933177e7ba5d5c1323b1004ea006599

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page